Solutions Architect, Supercomputing

We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to collaborate on developing solutions that leverage NVIDIA technology across industry segments. We need a passionate, hardworking, and creative individual to pursue opportunities in HPC, Machine Learning, AI Physics, Foundation Modeling, Physical AI, and Agentic AI. This role requires becoming a trusted technical advisor and leader to our partners and customers, integrating NVIDIA technology into AI workloads and workflows. This position requires a security clearance and U.S. citizenship. What You’ll Be Doing Partner with our industry and account teams in a customer-facing role to develop a keen understanding of customer goals, strategies, and technical needs, and help define and deliver high-value solutions. Document knowledge and teach others through targeted samples, white papers, blogs, wiki articles, or collaborative problem solving. Serve as an industry leader with vision on integrating NVIDIA technology into AI workloads, HPC, and enterprise GPU and networking architectures for advanced applications. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. Make occasional travel as required while using conferencing tools and other remote collaboration methods to support partners and customers. What We Need To See Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience. 5+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs. Background with modern application deployment practices including Slurm, Docker/Containers, and Kubernetes. Experience with modern Generative AI and Agentic AI architecture and frameworks. Strong written and oral communication skills, with the ability to collaborate with accounts, customers, management, and engineering. Experience supporting customers/partners in technical engagements. Strong organizational skills for coordinating multiple initiatives and complex projects. Strong analytical and problem-solving skills. Ways To Stand Out From The Crowd Experience applying data science to industry problems. Experience using GPGPU programming and design practices. CUDA programming and optimization experience. Background with network software development. Published record of thought leadership in a technical area or industry segment related to deep neural networks, machine learning R&D, Agentic AI, surrogate models, or foundation models. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD – 241,500 USD for Level 3, and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA